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of metamaterials, nanofabrication in a cleanroom environment, optical characterization, construction/modification of optical characterization tools, and test stations for fabricated devices. In
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project partners. Collect behavioural, welfare, microbiota, and production data in real farm environments. Work with economists and advisors to structure cost–benefit analyses of enrichment strategies
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semiconductor-semiconductor structures. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours
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responsibility for their own work in a structured manner. Strong teamwork skills and the ability to build respectful and constructive relationships within as well as outside Karlstad University will also be given
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initiatives and are well structured. Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to
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neuroimaging data analysis, including structural and functional MRI Familiarity with established neuroimaging software packages such as SPM, FSL, FreeSurfer, AFNI, or equivalent tools Experience with machine
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. Autonomous and structured; taking responsibility for your tasks and efficiently working according to set timeframes. Co-operation; listens and communicates constructively with both colleagues and external
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to the digitisation of society or the climate transition. Good ability to collaborate. Ability to take initiative, be structured, and work independently. Very good ability to express yourself in English, both orally
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include leading the investigation of structural and biophysical properties of miniaturized tumor environment models. A multidisciplinary approach is expected, integrating microfabrication, cell component
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to contribute to applications for external research funds. In this project, your responsibilities will include leading the investigation of structural and biophysical properties of miniaturized tumor environment